Open KNIME Workflows on KNIME Hub
KNIME Community Hub: Center for Geographic Analysis at Harvard University
This Hub contains workflows for Geospatial Analytics Extension for KNIME. Especially ,this space contains workflows that accompany the book: Computational Methods and GIS Applications in Social Science (3 Edition) and its KNIME Lab Manual. The book details applications of quantitative methods in social science, planning, and public policy with a focus on spatial perspectives. The book integrates GIS and quantitative (computational) methods and demonstrates them in various policy-relevant socio-economic applications with step-by-step instructions and datasets. The book demonstrates the diversity of issues where GIS can be used to enhance studies related to socio-economic issues and public policy.
KNIME AG and Harvard’s Center for Geographic Analysis have launched a joint project to advance spatial data science. The project is part of the Spatiotemporal Thinking, Computing, and Applications (STC) Center which is funded by the NSF to enable pre-competitive research in partnerships among industry, academia, and government. The two-year project “Developing Workbenches for Spatial Data Science (HVD-21-07)” will explore methodologies to advance spatial data science research and teaching. To open up spatial analytics to a more diverse group of users, the partners will develop freely accessible KNIME Analytics Platform extensions for spatial statistics, modeling, and visualization. KNIME’s visual, no-code/low-code environment will enable multi-discipline users to more easily and efficiently collaborate, explore data, and surface insights. Further resources in the form of workbooks, workflow-based case studies, and best-practice workflows will be developed to help users get started with replicable and reproducible spatial data science across scientific disciplines.